The paper "A Cross-National Relationship BetweenSugar Consumption and Major Depression?" (Depressionand Anxiety [2002]: 118-120) concluded that there was acorrelation between refined sugar consumption (caloriesper person per day) and annual rate of major depression(cases per 100 people) based on data from 6 countries.The following data were read from a graph that appearedin the paper:рaper:DepressionSugarConsumption RateCountryKorea1502.3United States3003.0France3504.4Germany3755.0Canada3905.2New Zealand4805.7Compute and interpret the correlation coefficient forthis data set.. Is it reasonable to conclude that increasing sugarconsumption leads to higher rates of depression? Explain.Do you have any concerns about this study that wouldmake you hesitant to generalize these conclusions to othercountries?

Given Data : X = Sugar Consumption Y = Depression Rate 150 2.3 300 3 350 4.4 375 5 390…

Answered: The paper "A Cross-National…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
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Suppose we are interested in studying the relationship between the shelf life of cheeses in a dairy factory and the thickness of the packaging material used for those cheeses. We would like to determine if there is a causal relationship between the thickness of the packaging material and the shelf life of the cheese; that is, does a change in the thickness of the packaging material cause a change in the shelf life of the cheese? Select the study that would be best source of evidence for establishing the existence of a causal relationship. Select one: O a. A study which uses a stratified random sample, stratifying by type of cheese, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O b. A study which uses a cluster sample, clustering by room the cheese is stored in, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O c. A…
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